Key drivers

Purpose- Owramanat County in Kermanshah province with 14 tourism regions, is one of the best tourist destinations of Kermanshah province, in which the tourism activists have faced challenges during the period of the outbreak of the Covid-19 pandemic. The purpose of the present study is to evaluate and analyze the resilience of rural tourism and identify the key drivers affecting it in the face of Covid-19 pandemic in Owramanat County. Design/methodology/approach- the present applied, quantitative study has been conducted with a combined approach (combination of descriptive-analytical and exploratory methods). The questionnaire method was used for data collection and its validity and reliability have been confirmed by observing scientific principles. In order to achieve the purposes of the study, the opinions of 150 people from the local community active in the field of tourism were used to evaluate the resilience, and the opinions of 30 experts were used to identify the primary factors affecting the resilience and also the views of 25 experts were taken into consideration in order to identify the key drivers affecting the resilience of rural tourism. The SPSS and MICMAC software were used to analyze the collected data. Findings- The research findings showed that, the average of four variables including local government budget, environmental knowledge, community welfare, and social support system as the main components of the resilience of rural tourism were 1.757, 2.358, 1.808, and 2.295 respectively and have been significantly lower than the base average. The overall assessment results showed that the calculated average with a value of 2.014 has been significantly lower than the medium level. The results also showed that, among 17 factors affecting the resilience of tourism, 5 factors of government financial support, financial capital, sanitary equipment, infrastructural facilities and disease control are the most effective key drivers on resilience. Originality/ value- Evaluation and analysis of the resilience of rural tourism in the face of Covid-19 pandemic with an approach of presenting the key indicators and variables in this field and also identification of key drivers affecting the resilience of rural tourism have received less attention from researchers and this proves the originality of the present study.

Background: The traditional approaches to strategic planning in the face of uncertainty of the environment have no inflexibility, and there is no appropriate response to it. Strategic Foresight systems are welcomed by creating a strategy in a highly competitive environment. Aim: The purpose of the study was to explain the effective demographic model of sections quad Iran's sports based on Strategic Foresight to end in 2036. Materials and Methods: The present research is in terms of applied purpose, qualitative nature and implementation path in foresight methods, environmental scanning and survey. The statistical population were faculty members of sports management with associate degrees and higher who were selected by combining sampling. Results: The experts approve the research model with GOF= 0.509. Also, development of academic disciplines in sport for all, land-use planning system in professional sport, per capita family income in championship sport, land-use planning system in educational sport as demographic key drivers were identified. Conclusion: The research model can be effective as a guide in anticipation of the future of sections quad Iran's sports and provided the basis for envisioning the future state and effective decision-making.

Purpose- The "Smart Village" approach includes long-term social, economic, and environmental activities of the rural community that involve widespread participation in local governance processes, promoting entrepreneurship, preserving the rural environment and, ultimately, sustainable development of rural areas. Therefore, the development of scenarios that facilitate the realization of the smart village approach in the peri-urban settlements of the metropolis of Tehran should be emphasized.Design/methodology/approach-This research is a descriptive-analytical study from the perspective of its objectives it is applied. Data and information were collected through library research, documentary studies, and survey methods (interviews). By reviewing scientific sources and conducting interviews with experts, 57 influencing factors of the smart village approach on the sustainability of peri-urban settlements were identified, categorized into 5 dimensions, and a total of 35 people, including managers of relevant organizations and university experts, were interviewed. The analysis of data was based on futures studies techniques, including structural analysis and mutual effects analysis (done using Micmac and Scenario Wizard software).Finding- The research findings show that there are a very large number of possible scenarios for the impact of the smart village on the sustainability of peri-urban settlements in the metropolis of Tehran within the range of Islamshahr County. Among them, 14 scenarios have weak compatibility and only 1 scenario is in a state of strong and sustainable compatibility (zero incompatibility). The first scenario, which is a positive one, has a mutual effect score of 733 and a compatibility value of 13, while the second scenario, which indicates unfavorable conditions for the future impact of the smart village on sustainable development, has a mutual effect score of -144 and a compatibility value of 5. The third scenario also has a compatibility value of -2 and with a mutual effect score of 63, it can be one of the impactful scenarios for the smart village on the sustainability of peri-urban settlements in the metropolis of Tehran. At the end of the research, operational suggestions are presented to enhance the indices of a smart village to achieve sustainable development in the rural settlements of the studied area.Originality/Value - For the first time in Iran, scenarios have been developed on the impact of smart villages on the sustainability of peri-urban settlements, and from this perspective, it is innovative and among the first research in the field.